# RNWY Trust Intelligence

> Use this tool when you need to assess the trustworthiness of an AI agent, detect potential Sybil attacks, or verify signed attestations. It solves problems related to agent authenticity and reliability, providing a secure interface to check over 150,000+ agents. With free access, it's ideal for use cases requiring agent validation, such as secure data sharing, collaboration, or transactional interactions.

Canonical page: https://skillsregistry.net/skills/io-github-rnwy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rnwy-mcp

## Description

Check if an AI agent is trustworthy. Sybil detection, signed attestations, 150,000+ agents. Free.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rnwy%2Fmcp)
- **Repository:** <https://github.com/rnwy/mcp>

## Use it

MCP endpoint published by the skill: `https://rnwy.com/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-rnwy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rnwy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rnwy-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt